Platform — Predictive Intelligence
From what happened to what happens next
Persistent observation is the raw material of prediction. Because the mesh watches continuously, every site accumulates a behavioral baseline — and departures from baseline become forecasts, scored and evidence-tagged like everything else on the platform.
Model families
Intrusion-risk scoring
Per-site risk indices from detection history, regional incident patterns, lighting and moon-phase conditions — the model behind auto-armed drone response.
Activity & occupancy forecasts
Traffic, footfall, berth and yard-occupancy predictions for operations planning — hours to weeks ahead.
Schedule-drift prediction
Construction progress models compare as-built twins to plan and forecast completion drift before it appears in status meetings.
Throughput & supply signals
Port, terminal and facility throughput estimates from fused imagery and AIS — indicators for logistics, insurers and markets.
Predictive I&W
Indications-and-warnings watch for security and government missions: posture change, staging activity and anomaly precursors over any AOI.
Maintenance & condition
Corrosion, encroachment and vegetation-risk detection along linear infrastructure, trended into inspection priorities.
Evidence & confidence
A forecast is a claim with a number attached
Forecasts never masquerade as observations. Every prediction ships with its confidence score and the reserved risk color — and the observations that fed it keep their own evidence levels.
Observed
- verified cross-confirmed on two or more sensors
- The baseline every forecast is measured against
Contextual
- correlated consistent but single-source
- Feeds the models with regional and market context
Forecast
- risk probability with a confidence score
- Scored per site and AOI; re-fit nightly as truth accumulates
See the mesh over your site
Tell us what you're trying to watch, verify or predict. We'll map your sites to the mesh, scope a pilot, and have the first feed live in days — not quarters.